江蓠与对虾混养的神经-模糊优化模型初探

Preliminary study on the neuro-fuzzy optimization model in the polyculture system of Gracilaria tenuistipitata v. and Penaeus monodom

  • 摘要: 根据2003年4月~2004年9月在广东省海丰县联安镇江蓠-对虾鱼塭混养试验所得调查数据, 采用神经-模糊系统作为非线性逼近工具, 建立了虾藻混合养殖过程中各生物和水环境因子之间非线性关系的神经-模糊系统模型。以鱼塭水环境中可溶性无机氮DIN≤0·2mg·L-1作为富营养化限制标准, 模型模拟出了对虾不同养殖阶段混养江蓠所需的最低理论生长速率。其结果较好地反映了混养系统中江蓠的实际生长速率对水环境中DIN所产生的影响。

     

    Abstract: Based on the survey data in polyculture pond system of Gracilaria tenuistipitata v. and Penaeus monodom in Lian′an town Haifeng county Guangdong province, China from April 2002 to September 2003, a neuro-fuzzy system model was developed to describe the non-linear relationships among the biological and physicochemical factors in pond in different growth phase of Penaeus monodom. The model simulated the theoretic lowest growth rate of Gracilaria tenuistipitata v. in different growth phase of Penaeus monodom within the eutrophication restrict criteria of dissolved nitrogen in water DIN≤0.2 mg·L-1. The simulated results well reflected the effect of actual growth rate of Gracilaria tenuistipitata v. on the DIN in polyculture pond system.

     

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